Th
The beginner's guide to LLM prompting
Hacker NewsThe beginner's guide to LLM prompting
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto55%55% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting34%34% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Co
Composable LLM prompting and inheritance [video]45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Composable LLM prompting and inheritance [video]
Hacker News1PandAi752%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Are you tired of prompting?
Indie Hackers1$9/moaireelslaunch15%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Less prompting. More directing
Indie HackersPr
PromptL, a templating language designed for LLM prompting43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PromptL, a templating language designed for LLM prompting
Hacker News7LL
LLM Prompting Templates for Files / Source-Code40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
LLM Prompting Templates for Files / Source-Code
Hacker News2I
I made an interactive LLM Tools guide61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made an interactive LLM Tools guide
Hacker News7A
A Beginner's Guide to Colorimetry40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Beginner's Guide to Colorimetry
Hacker News2Gu
Guide to Hacking64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Guide to Hacking
Hacker News6A
A Guide to TensorFlow (Part 2)65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Guide to TensorFlow (Part 2)
Hacker News2Vi
Vim Guide52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Vim Guide
Hacker News1